A cheating pseudo-entry in NaNoGenMo 2015.
This code mashes up two source texts. The first text is used for structure, while the second provides the vocabulary. Word replacements are chosen to be semantically close (using word2vec and part-of-speech identification) as well as similar in frequency between the texts.
pip3 install click, gensim
python3 mashup.py mash input/alices.txt input/bible.txt
**Gender mashup
python mashup.py gender input/alices.txt
Computing frequencies for input/alices.txt
Loading POS tags
Loaded
guinea [('m', 0.0014285714285714286), ('f', 0.0006184291898577613), ('n', 0.0022189349112426036)]
Cheshire [('m', 0.0), ('f', 0.0018552875695732839), ('n', 0.0029585798816568047)]
William [('m', 0.005714285714285714), ('f', 0.0012368583797155227), ('n', 0.0014792899408284023)]
whiting [('m', 0.004285714285714286), ('f', 0.0006184291898577613), ('n', 0.0014792899408284023)]
brown [('m', 0.0014285714285714286), ('f', 0.0006184291898577613), ('n', 0.005177514792899409)]
cook [('m', 0.005714285714285714), ('f', 0.0055658627087198514), ('n', 0.0007396449704142012)]
lily [('m', 0.0), ('f', 0.004947433518862091), ('n', 0.005177514792899409)]
Kitty [('m', 0.0014285714285714286), ('f', 0.004329004329004329), ('n', 0.011834319526627219)]
March [('m', 0.01), ('f', 0.0024737167594310453), ('n', 0.013313609467455622)]
Humpty [('m', 0.017142857142857144), ('f', 0.0074211502782931356), ('n', 0.016272189349112426)]
Dumpty [('m', 0.017142857142857144), ('f', 0.0074211502782931356), ('n', 0.016272189349112426)]
Alice [('m', 0.14), ('f', 0.22077922077922077), ('n', 0.1952662721893491)]
React
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Microsoft
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D3
Tencent